Design of robust communication systems using genetic algorithms

Chien Min Ou, Wen-Jyi Hwang, Hung Chuan Yung

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    This paper presents a novel genetic algorithm for jointly optimizing source and channel codes. The algorithm uses a channel-optimized vector quantizer for the source code, and a rate-punctured convolutional code for the channel code. The genetic algorithm enhances the robustness of the rate-distortion performance of the channel-optimized vector quantizer, and reduces the computational time for finding the best rate-punctured convolutional code. Numerical results show that the algorithm attains near optimal performance while having low computational complexity.

    Original languageEnglish
    Title of host publicationGenetic Programming - 9th European Conference, EuroGP 2006, Proceedings
    Number of pages10
    Publication statusPublished - 2006 Jul 13
    Event9th European Conference on Genetic Programming, EuroGP 2006 - Budapest, Hungary
    Duration: 2006 Apr 102006 Apr 12

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3905 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Other9th European Conference on Genetic Programming, EuroGP 2006


    • Error Correct Coding
    • Genetic Algorithm
    • Vector Quantization

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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